TY - CHAP A1 - Chang-Hao Piao A2 - Wen-Li Fu A3 - Jin-Wang A4 - Zhi-Yu Huang A5 - Chongdu Cho ED1 - Kenji Suzuki Y1 - 2011-04-04 PY - 2011 T1 - State of Charge Estimation of Ni-MH battery pack by using ANN N2 - Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of artificial neural networks in industrial and control engineering applications. The book begins with a review of applications of artificial neural networks in textile industries. Particular applications in textile industries follow. Parts continue with applications in materials science and industry such as material identification, and estimation of material property and state, food industry such as meat, electric and power industry such as batteries and power systems, mechanical engineering such as engines and machines, and control and robotic engineering such as system control and identification, fault diagnosis systems, and robot manipulation. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in industrial and control engineering areas. The target audience includes professors and students in engineering schools, and researchers and engineers in industries. BT - Artificial Neural Networks SP - Ch. 12 UR - https://doi.org/10.5772/16024 DO - 10.5772/16024 SN - PB - IntechOpen CY - Rijeka Y2 - 2019-11-22 ER -